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ECML
2007
Springer
16 years 26 days ago
Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning
Knowledge representations using semantic web technologies often provide information which translates to explicit term and predicate taxonomies in relational learning. We show how t...
Monika Záková, Filip Zelezný
PKDD
2007
Springer
193views Data Mining» more  PKDD 2007»
16 years 24 days ago
Learning Multi-dimensional Functions: Gas Turbine Engine Modeling
Abstract. This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced ...
Chris Drummond
UM
2005
Springer
16 years 5 days ago
Using Learning Curves to Mine Student Models
This paper presents an evaluation study that measures the effect of modifying feedback generality in an Intelligent Tutoring System (ITS) based on Student Models. A taxonomy of the...
Brent Martin, Antonija Mitrovic
SGAI
2004
Springer
16 years 1 days ago
Interactive Selection of Visual Features through Reinforcement Learning
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Sébastien Jodogne, Justus H. Piater
IEEEMSP
2002
IEEE
15 years 11 months ago
Musical query-by-description as a multiclass learning problem
Abstract—We present the query-by-description (QBD) component of “Kandem,” a time-aware music retrieval system. The QBD system we describe learns a relation between descriptiv...
Brian Whitman, Ryan M. Rifkin